Plaud

PLAUD.AI develops innovative AI devices, including the PLAUD NOTE, which serves as a hands-free AI note-taking solution. The company focuses on enhancing productivity through advanced voice-to-text transcription and AI summarization, leveraging cutting-edge technology to cater to professionals across various sectors. With over 300,000 users in more than 168 countries, PLAUD.AI positions itself as a leader in the AI notetaking market, offering unique features that differentiate it from traditional note-taking methods. Their products are designed to maximize efficiency and provide seamless integration of AI into everyday tasks, making them appealing to a wide range of customers.

AINote-takingProductivitySummarizationTranscriptionWearable Technologyplaud.ai

Plaud

AINote-takingProductivitySummarizationTranscriptionWearable Technologyplaud.ai

HQSan Francisco, US

Team Size118

Open Jobs217

Total Funding-

Latest FundraiseUnknown

Join the Team

AI Agent Engineer - Singapore

On-SiteSG

On-Site • SG

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

Frontend Developer

InternshipNovi Sad, RS

Internship • Novi Sad, RS

Technical Writer

Part-timeBerlin, DE

Part-time • Berlin, DE

DevOps Engineer

ContractRotterdam, NL

Contract • Rotterdam, NL

Product Designer

Full-timeNiš, RS

Full-time • Niš, RS

Software Engineer

Part-timeTel Aviv

Part-time • Tel Aviv

AI Researcher

Part-timeBerlin, DE

Part-time • Berlin, DE

About Plaud Inc. Plaud is building the world's most trusted AI work companion for professionals to elevate productivity and performance through note-taking solutions, loved by over 1,000,000 users worldwide since 2023. With a mission to amplify human intelligence, Plaud is building the next-generation intelligence infrastructure and interfaces to capture, extract, and utilize what you say, hear, see, and think.

Plaud Inc. is a Delaware-incorporated, San Francisco-based company pushing the boundary of human–AI intelligence through a hardware–software combination. With ISO 27001, ISO 27701, GDPR, SOC 2, HIPAA, and EN 18031 compliance, Plaud is committed to the highest standards of data security and privacy protection.

To learn more about Plaud, please visit https://www.plaud.ai and follow along on Instagram, X, Facebook, LinkedIn, and YouTube

Why You Should Join Us Plaud is building the next generation intelligence infrastructure and interfaces to capture, extract, and utilize intelligence from what people say, hear, see, and think.

Plaud is a bootstrapped, skyrocketing, profitable company with a $250M revenue run rate achieved in just three years.
Define the next-gen paradigm for human-AI interaction.
Gain exposure to cutting-edge AI for Pro tools and play a direct role in our global expansion.
Work with passionate teammates who value innovation, collaboration, and customer success.
Grow your career in a culture that champions continuous learning and fast career development.
Market-competitive compensation, global exposure, and a vibrant, creativity-fueled work atmosphere.

What You Will Do

Build and maintain the core infrastructure powering our AI Agent framework — from runtime orchestration to memory and tool integrations.
Collaborate with product and hardware teams to bring new AI-driven features to life across innovative software and hardware products.
Lead migration of legacy systems into the new Agent framework, ensuring performance, reliability, and compatibility.
Develop and optimize pipelines for real-time inference, agent coordination, and human-AI interaction.
Contribute to technical design reviews, internal SDKs, and developer tools that make our agent ecosystem easier to build on.

Skills, Qualifications And Experience We Look For

3–5 years of professional experience in backend or AI-related engineering roles.
Strong programming skills in Python or Go, with solid understanding of async systems, microservices, and API design.
Experience working with at least two of: Redis, Kafka, gRPC, WebSocket, LangChain/Dify/LangGraph-style frameworks.
Practical knowledge of Docker, CI/CD, and cloud deployment (AWS, GCP, or similar).
Clear communication and collaboration skills across distributed, cross-functional teams.